Evidence map›Paper›PMID 31882766›Full record

ArticleScientific reports2019

Genetic species identification of ecologically important planthoppers (Prokelisia spp.) of coastal Spartina saltmarshes using High Resolution Melting Analysis (HRMA).

G Janelle Espinoza, Jaime R Alvarado Bremer

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 86% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

G Janelle EspinozaTexas A&M University at Galveston, Department of Marine Biology, 1001 Texas Clipper Road, Galveston, TX, 77554-2888, USA. Janelle.Espinoza0@gmail.com.
Jaime R Alvarado BremerTexas A&M University at Galveston, Department of Marine Biology, 1001 Texas Clipper Road, Galveston, TX, 77554-2888, USA.ORCID http://orcid.org/0000-0002-6194-0421
Texas A&M University at Galveston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phloem-feeding planthoppers of the genus Prokelisia rank among the most abundant and ecologically important browsers of coastal saltmarsh grasses of eastern North America and the Caribbean. Along the Spartina marshes of the northern Gulf of Mexico, the sympatric species P. marginata and P. dolus are the most abundant, but are difficult to distinguish from each other based solely on morphology. This study seeks to design a molecular assay based on High Resolution Melting Analysis (HRMA) as a fast, cost-effective alternative to differentiate these species. A 450 base pairs (bp) segment of cytochrome c oxidase subunit I (COI) was amplified and sequenced for representative samples of both species, and a short amplicon (SA) HRMA was designed based on the presence of fixed nucleotide differences between species found along a 60 bp segment of COI. The unambiguous identification of individual specimens of P. marginata or P. dolus was possible due to easily discernable differences in the melting temperatures of the two species along this mini barcode. This assay may prove useful for future genetic studies involving these species by preventing the overestimation of genetic diversity via inclusion of conspecifics, and in ecological studies by improving data on the effects of individual species of Prokelisia.

Indexed as

WetlandsAnimalsFemaleGenes, InsectGulf of AmericaHemipteraHot TemperatureMaleSeawater

Identifiers

PMID31882766
PMCPMC6934748
OpenAlexW2998447270

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.